scholarly journals Extracting Patient Data from Tables in Clinical Literature - Case Study on Extraction of BMI, Weight and Number of Patients

2016 ◽  
Author(s):  
Nikola Milosevic ◽  
Cassie Gregson ◽  
Robert Hernandez ◽  
Goran Nenadic
Keyword(s):  
Patient Data ◽  
Clinical Literature ◽  
Number Of Patients

scholarly journals Designing Data Warehouse at the Impatient and Outpatient (Case Study: Sanglah Hospital)

1970 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Putu Veda Andreyana ◽  
Putu Angelina Widya ◽  
Made Suartika
Keyword(s):  
Data Processing ◽  
Data Warehouse ◽  
Patient Data ◽  
Design Methods ◽  
Process Selection ◽  
Electoral Process ◽  
Number Of Patients ◽  
Query Model ◽  
Selection Of

The growth of patient data increasing the hospital resulted in even harder to compile data and analyze the data manually, so it takes a data warehouse that can perform this task automatically. The design of the data warehouse Sanglah hospital aims to build a data warehouse that can store data in structured and easier to analyze the data to make a decision. Design methods Fact Constellation Schema and method used is a Nine-step methodology consisting of nine stages, namely the Electoral Process, Selection of Grain, identification and adjustment of the dimensions, the Electoral Facts, Storage pre-calculation in the fact table, Ensuring the dimension tables, the Electoral duration database, Track changes of dimensions is slowly, prioritization and query model. Designing Data Warehouse Sanglah Hospital helpful enough for data processing in large enough quantities, so expect the needs and information about the patient can be met. Data warehouse Sanglah Hospital can be used to analyze patient data in order to get information on the number of patients of various dimensions

scholarly journals An Embedded Multiple Case Study: Facilitating Uptake of Food Insecurity Screening Initiatives in Low Resource Primary Care Settings

2021 ◽  
Author(s):  
Sabira Taher ◽  
Naoko Muramatsu ◽  
Angela Odoms-Young ◽  
Nadine Peacock ◽  
Michael C. Fagen ◽  
...  
Keyword(s):  
Primary Care ◽  
Food Insecurity ◽  
Multiple Case Study ◽  
Food Assistance ◽  
Screening Tools ◽  
Implementation Barriers ◽  
Program Fidelity ◽  
Number Of Patients ◽  
Multiple Case

Abstract Background Food insecurity (FI), limited access to healthy food, is a social determinant of health linked to poor dietary health and difficulty with disease management. Healthcare experts support the adoption of validated screening tools within primary care clinics to identify and connect FI patients to food resources. Yet, a lack of standard practices limits uptake. The purpose of this study was to understand program processes and outcomes of primary care focused FI screening initiatives that can guide wide-scale program implementation. Methods This was an embedded multiple case study of two primary care-focused initiatives implemented in two diverse health systems in Chicago and Suburban Cook County that routinely screened patients for FI and referred them to onsite food assistance programs. The Consolidated Framework for Implementation Research and an iterative process were used to collect/analyze qualitative data through semi-structured interviews with N = 19 clinical staff. Intended program activities, outcomes, actors, implementation barriers/facilitators and overarching implementation themes were identified as a part of a cross-case analysis. Findings: Programs outcomes included: the number of patients screened and identified as FI; the number of patients referred to and participated in the onsite food assistance program. Overall, neither case achieved intended reach or participation. Limited financial, human and infrastructure support were implementation barriers. Existing community collaborations and clinic-level autonomy were critical facilitators during implementation that contributed to the flexibility of program activities. Programs were tailored to each context to assist in implementation feasibility, but contributed to low program fidelity. Conclusions Programs were highly adaptable and each context enhanced implementation feasibility across settings. These characteristics have the potential to support program uptake in other settings, but should be used with caution to preserve program fidelity and to achieve intended outcomes. A foundational model for the development and testing of standard clinical practice was the product of this study.

IPDfromKM: Reconstruct Individual Patient Data from Published Kaplan-Meier Survival Curves

2020 ◽  
Author(s):  
Na Liu ◽  
Yanhong Zhou ◽  
J. Jack Lee
Keyword(s):  
Survival Data ◽  
Individual Patient Data ◽  
Secondary Analysis ◽  
R Package ◽  
Patient Data ◽  
Survival Curves ◽  
Raw Data ◽  
Kaplan Meier ◽  
Number Of Patients ◽  
Shiny Application

Abstract BackgroundWhen applying secondary analysis on published survival data, it is critical to obtain each patient’s raw data, because the individual patient data (IPD) approach has been considered as the gold standard of data analysis. However, researchers often lack access to the IPD. We aim to propose a straightforward and robust approach to help researchers to obtain IPD from published survival curves with a friendly software platform. ResultsImproving upon the existing methods, we proposed an easy-to-use, two-stage approach to reconstruct IPD from published Kaplan-Meier (K-M) curves. Stage 1 extracts raw data coordinates and Stage 2 reconstructs IPD using the proposed method. To facilitate the use of the proposed method, we develop the R package IPDfromKM and an accompanied web-based Shiny application. Both the R package and Shiny application can be used to extract raw data coordinates from published K-M curves, reconstruct IPD from data coordinates extracted, visualize the reconstructed IPD, assess the accuracy of the reconstruction, and perform secondary analysis on the IPD. We illustrate the use of the R package and the Shiny application with K-M curves from published studies. Extensive simulations and real world data applications demonstrate that the proposed method has high accuracy and great reliability in estimating the number of events, number of patients at risk, survival probabilities, median survival times, as well as hazard ratios. ConclusionsIPDfromKM has great flexibility and accuracy to reconstruct IPD from published K-M curves with different shapes. We believe that the R package and the Shiny application will greatly facilitate the potential use of quality IPD data and advance the use of secondary data to make informed decision in medical research.

A Methodological Evaluation of Crypto-Watermarking System for Medical Images

2016 ◽  
pp. 189-217
Author(s):  
Anna Babu ◽  
Sonal Ayyappan
Keyword(s):  
Medical Information ◽  
Medical Images ◽  
Secret Key ◽  
Encrypted Data ◽  
Number Of Patients ◽  
Detailed Assessment ◽  
Content Recovery ◽  
Secure Transmission ◽  
Methodological Evaluation

Health care institution demands exchange of medical images of number of patients to sought opinions from different experts. In order to reduce storage and for secure transmission of the medical images, Crypto-Watermarking techniques are adopted. The system is considered to be combinations of encryption technique with watermarking or steganography means adopted for safe transfer of medical images along with embedding of optional medical information. The Digital Watermarking is the process of embedding data to multimedia content. This can be done in spatial as well as frequency domain of the cover image to be transmitted. The robustness against attacks is ensured while embedding the encrypted data into transform domain, the encrypted data can be any secret key for the content recovery or patient record or the image itself. This chapter presents basic aspects of crypto-watermarking technique, as an application. It gives a detailed assessment on different approaches of crypto-watermarking for secure transmission of medical images and elaborates a case study on it.

Nursing Considerations for Patients Requiring Cardiopulmonary Support

1991 ◽  
Vol 2 (3) ◽  
pp. 500-514 ◽  
Author(s):  
Terry K. Bavin
Keyword(s):  
Critical Care ◽  
Nursing Care ◽  
Critical Care Nurses ◽  
Care Plan ◽  
Background Information ◽  
Nursing Management ◽  
Cardiopulmonary Support ◽  
Complex Patients ◽  
Number Of Patients

The number of patients receiving cardiopulmonary support (CPS) is increasing, requiring critical care nurses to be better prepared to care for these complex patients. Background information on CPS along with considerations for nursing management are presented. A case study of a patient requiring CPS and a suggested nursing care plan are included to assist in providing quality nursing care

Clinical engagement: a new concept or common sense all round?

2019 ◽  
Vol 43 (4) ◽  
pp. 392
Author(s):  
Stephen Bolsin ◽  
Jenny Carter ◽  
Aileen Kitson ◽  
Donna Walter ◽  
Stephen Roberts
Keyword(s):  
Patient Outcomes ◽  
Common Sense ◽  
Employee Satisfaction ◽  
Clinical Governance ◽  
Healthcare Organisation ◽  
Number Of Patients ◽  
Clinical Engagement ◽  
To Receive ◽  
Professional Disciplines

Clinical engagement has supplemented clinical governance in healthcare to strengthen the contribution of medical professionals to the assessment of clinical outcomes for patients. Assessments of clinical engagement have, until now, been qualitative; this case study introduces the concept of quantitative assessment of clinical engagement by measuring the number of patients managed according to specialist society guidelines. Such an assessment engages all staff (medical, nursing, allied health and pharmacy) involved in patients receiving treatment according to such guidelines and provides an assessment of individual and organisational compliance with those guidelines. Clinical engagement is then quantified as the percentage of patients that have been documented to receive specialist society- or college-approved guideline-compliant treatment, relative to the total number who could receive such treatment, in any healthcare organisation. What is known about the topic? Clinical engagement has emerged in recent years as a virtue to be encouraged in healthcare organisations because of its association with improved patient outcomes and employee satisfaction. Assessments have relied on repeated staff surveys in order to gauge engagement. What does this paper add? This paper proposes a novel means of measuring clinical engagement in an organisational setting. The vision put forward is that adherence to clinical guidelines in an organisation measures clinician engagement across professional disciplines. What are the implications for practitioners? The implications are that organisations will contribute to measuring the adherence of specialty groups of clinicians to guidelines that the clinicians select and use the data for individual and organisational accreditation.

scholarly journals Nurse Leadership in a Small Hospital in the Less Developed Country: Is It Needs or Circumstances?

2019 ◽  
Vol 34 (s1) ◽  
pp. s154-s154
Author(s):  
Odeda Benin-Goren ◽  
Yossi Baratz ◽  
Fatoumata Binta Diallo
Keyword(s):  
Pediatric Patients ◽  
Head Nurse ◽  
Small Hospital ◽  
Developed Country ◽  
Daily Work ◽  
Nurse Leadership ◽  
Number Of Patients ◽  
Ambulatory Patients ◽  
Less Developed Country

Introduction:Clinic Communal de Miniera is a small hospital located in the poor Dixinn district in Guinea Conakry. The hospital functions with seven general physicians, three surgeons, one gynecologist, one dentist, and fifteen nurses. The facility provides small admitting wards for medical, gynecologist (mostly maternity), and pediatric patients. The average number of patients per day is about forty, including acute and ambulatory patients. Although there is a medical director, the daily work is run by the Head Nurse (HN) who is specialized (on spot) as an Emergency Nurse. Management of all emergency patients is based on her experience, personality and the reality of the organization.Results:The circumstances emphasized the gaps between the managerial needs and existent reality, and raised the HN role to a team leader. The work will present the situation in the hospital as a case study related to “non-conventional” management due to a “deferent” situation and will highlight questions related to capabilities and risk factors.

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